Cover Image

Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Chen, Wang, Fangxin, Guo, Ruocheng, Liang, Yueqing, Yu, Philip S.
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems
by: Cao, Yuwei, et al.
Published: (2024)

Collaborative Semantic Alignment in Recommendation Systems
by: Wang, Chen, et al.
Published: (2023)

FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation
by: Wang, Maolin, et al.
Published: (2025)

STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation
by: Wang, Maolin, et al.
Published: (2025)

DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems
by: Zhang, Sheng, et al.
Published: (2024)

Taxonomy-Guided Zero-Shot Recommendations with LLMs
by: Liang, Yueqing, et al.
Published: (2024)

Frequency-aware Adaptive Contrastive Learning for Sequential Recommendation
by: Wang, Zhikai, et al.
Published: (2026)

Towards Comprehensible Recommendation with Large Language Model Fine-tuning
by: Luo, Yunze, et al.
Published: (2025)

Generative Sequential Recommendation via Hierarchical Behavior Modeling
by: Wang, Zhefan, et al.
Published: (2025)

Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation
by: Zhao, Yuchuan, et al.
Published: (2025)

Data-efficient Fine-tuning for LLM-based Recommendation
by: Lin, Xinyu, et al.
Published: (2024)

Intent-aware Recommendation via Disentangled Graph Contrastive Learning
by: Wang, Yuling, et al.
Published: (2024)

UFO: Unfair-to-Fair Evolving Mitigates Unfairness in LLM-based Recommender Systems via Self-Play Fine-tuning
by: Zhang, Jiaming, et al.
Published: (2025)

FuXi-Linear: Unleashing the Power of Linear Attention in Long-term Time-aware Sequential Recommendation
by: Ye, Yufei, et al.
Published: (2026)

SPARK: Adaptive Low-Rank Knowledge Graph Modeling in Hybrid Geometric Spaces for Recommendation
by: Wang, Binhao, et al.
Published: (2025)

Dataset Regeneration for Sequential Recommendation
by: Yin, Mingjia, et al.
Published: (2024)

Intent-aware Diffusion with Contrastive Learning for Sequential Recommendation
by: Qu, Yuanpeng, et al.
Published: (2025)

Evaluating and Addressing Fairness Across User Groups in Negative Sampling for Recommender Systems
by: Xuan, Yueqing, et al.
Published: (2023)

Augmenting Sequential Recommendation with Balanced Relevance and Diversity
by: Dang, Yizhou, et al.
Published: (2024)

Embedding in Recommender Systems: A Survey
by: Wang, Maolin, et al.
Published: (2023)

SessionRec: Next Session Prediction Paradigm For Generative Sequential Recommendation
by: Huang, Lei, et al.
Published: (2025)

Pre-train and Fine-tune: Recommenders as Large Models
by: Jiang, Zhenhao, et al.
Published: (2025)

Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender Systems
by: Zhao, Yuchuan, et al.
Published: (2026)

Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation with Pre-training
by: Jiang, Juyong, et al.
Published: (2021)

Data Watermarking for Sequential Recommender Systems
by: Zhang, Sixiao, et al.
Published: (2024)

SA-CAISR: Stage-Adaptive and Conflict-Aware Incremental Sequential Recommendation
by: Song, Xiaomeng, et al.
Published: (2026)

MARS: Matching Attribute-aware Representations for Text-based Sequential Recommendation
by: Kim, Hyunsoo, et al.
Published: (2024)

Bridging Behavior and Semantics for Time-aware Cross-Domain Sequential Recommendation
by: Qin, Zhida, et al.
Published: (2026)

LARES: Latent Reasoning for Sequential Recommendation
by: Liu, Enze, et al.
Published: (2025)

Confidence Calibration for Recommender Systems and Its Applications
by: Kweon, Wonbin
Published: (2024)

Sample Enrichment via Temporary Operations on Subsequences for Sequential Recommendation
by: Chen, Shu, et al.
Published: (2024)

TME-PSR: Time-aware, Multi-interest, and Explanation Personalization for Sequential Recommendation
by: Wang, Qingzhuo, et al.
Published: (2026)

Balancing Fine-tuning and RAG: A Hybrid Strategy for Dynamic LLM Recommendation Updates
by: Meng, Changping, et al.
Published: (2025)

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks
by: Wang, Yejing, et al.
Published: (2025)

ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning
by: Huang, Jiani, et al.
Published: (2026)

FineRec:Exploring Fine-grained Sequential Recommendation
by: Zhang, Xiaokun, et al.
Published: (2024)

Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure
by: Zhao, Ziqi, et al.
Published: (2025)

Multimodal Difference Learning for Sequential Recommendation
by: Li, Changhong, et al.
Published: (2024)

Position-aware Graph Transformer for Recommendation
by: Chen, Jiajia, et al.
Published: (2024)

Data Augmentation for Sequential Recommendation: A Survey
by: Dang, Yizhou, et al.
Published: (2024)